Central Data Repository City of Sugar Land, Office of Data and Innovation
PRODUCTION
Marisol Ortega, Data and Innovation Administrator (CDR Administrator)
View as Administrator Data engineer Utilities steward Police steward

Platform capabilities

How the repository covers each architecture domain the City listed, and whether each capability is native to the platform, a third-party product, or a separately licensed add-on. "In this repository" names the screen that shows it working.
DomainCapabilityProvidedIn this repository
Data ingestion and integrationSQL Server, PostgreSQL, APIs, flat files, SharePoint, ArcGIS, SaaS; Tyler Munis, Cityworks, EnerGov, ArcGISNative connectors; third party only for niche SaaSSources and connectors
Batch, incremental, change data capture, API and near real time ingestionNativeRun steps (method per dataset)
Schema change detection and versioned source mappings with replayNative (pipeline framework)Run R-20261106-0200
ETL and ELTOrchestration, scheduling, pipeline monitoring, logging, error handling, alertingNative within the CDR platform; no separate ETL productPipeline runs, Alerts
Data storage and organizationStructured, semi-structured (JSON) and geospatial types; storage scales separately from computeNativeRaw layer, spatial parcels
Development, test and production; encryption at rest; backup and recovery; raw, cleansed and curated layers serving department views from one sourceNativeOperations, Catalog
Transformation and processingSQL for cleansing and curation; Python for orchestration and extraction; Spark available for large workloads; low-code available for analystsNative (SQL, Python); Spark and low-code native on the recommended platformsMetric SQL
Data modelingDimensional facts and dimensions; documented business rules and a shared semantic layer for metric definitions; City data standards appliedNative; semantic model in Power BIMetric migration, Data standards
Analytics and reportingPower BI integration; spatial data and ArcGIS integrationNative connector; Power BI licenses already held by the CityDepartment views (map)
Security and accessRBAC, SSO, MFA, encryption, network isolation, private endpoints, auditing, row and column security, dynamic masking, sensitive data classification; government cloud deployment optionsNative; SSO and MFA through the City identity providerAccess and roles
Metadata and documentationCatalog, lineage, classification, ownership, metadata managementNative catalog; a separately licensed enterprise catalog is optionalCatalog entry with lineage
Data quality and validationAutomated rules, alerts, reconciliation checks, exception handling (quarantine)Native (rules as code)Data quality, Quarantine
Scalability and expansionCompute per workload class, multi-cluster for BI peaks, new sources added from documented patternsNativeCost and consumption
Monitoring and supportPipelines, failures, performance, usage and costNativeOperations, Cost
Disaster recoveryRPO 15 minutes, RTO 4 hours, nightly snapshots plus log backup, paired region copy, quarterly restore tests, 99.9% availability for department viewsNativeRecovery tests

This repository runs on stand-ins for the production services (PostgreSQL with PostGIS for the warehouse, a Python orchestrator for the pipeline service). Platform selection against the City's criteria happens in Phase 0; the patterns shown here carry to each recommended platform.

Data as of run R-20261111-0200, finished 11/11/2026 02:13 Central. Curated layer: curated schema.